An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content
The recent advancements in the web allow users to generate multimedia content, resulting in multimedia information proliferation. Existing search engines provide access to multimedia content via a disjoint assembly of media-specific results called verticals. However, this decentralized assembly of m...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9780405/ |
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| _version_ | 1841536217759350784 |
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| author | Abdur Rehman Khan Umer Rashid Naveed Ahmed |
| author_facet | Abdur Rehman Khan Umer Rashid Naveed Ahmed |
| author_sort | Abdur Rehman Khan |
| collection | DOAJ |
| description | The recent advancements in the web allow users to generate multimedia content, resulting in multimedia information proliferation. Existing search engines provide access to multimedia content via a disjoint assembly of media-specific results called verticals. However, this decentralized assembly of media contents requires manual aggregation and synthesizing efforts at the user’s end, hindering the information exploration process and subsequently may cause cognitive overload, hence, demanding innovative tools to discover multimedia content. The researchers have devised numerous state-of-the-art approaches; however, analysis to confirm the efficacy has little emphasis. This study investigates users’ complex multimedia information-seeking behavior over state-of-the-art web search systems to unveil the user’s information-seeking issues. Our research employs between-subjects study and post hoc analysis strategies to analyze participants’ information-seeking characteristics. The study design adopted statistical hypothesis testing to consolidate previous user behavioral studies, confirm existing strategies, and present recommended practices for future general-purpose web search engines. The participants were assigned Google and an advanced discovery search system using the same multimedia dataset to ensure the obtained results’ credibility. The primary behavioral parameters include search efforts, multimedia content exploration, search user interface (SUI), information management and presentation, and user cognition. This study uncovers several inadequacies of the search engines in meeting users’ complex discovery needs, including 29.6% less user engagement, 43% system and searching dissatisfaction, and 32% less knowledge acquisition with 63.9% increased clicking effort on traditional search engines. The results confirmed previous user studies and suggest novel research recommendations statistically significant in multimedia information exploration-related endeavors. |
| format | Article |
| id | doaj-art-f196e5562c914235bca366ea1d690a14 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f196e5562c914235bca366ea1d690a142025-01-15T00:01:02ZengIEEEIEEE Access2169-35362022-01-0110563165633010.1109/ACCESS.2022.31775979780405An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web ContentAbdur Rehman Khan0https://orcid.org/0000-0001-6014-1356Umer Rashid1https://orcid.org/0000-0002-3453-7979Naveed Ahmed2https://orcid.org/0000-0003-3506-8534Department of Computer Sciences, Quaid-i-Azam University, Islamabad, PakistanDepartment of Computer Sciences, Quaid-i-Azam University, Islamabad, PakistanCollege of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi ArabiaThe recent advancements in the web allow users to generate multimedia content, resulting in multimedia information proliferation. Existing search engines provide access to multimedia content via a disjoint assembly of media-specific results called verticals. However, this decentralized assembly of media contents requires manual aggregation and synthesizing efforts at the user’s end, hindering the information exploration process and subsequently may cause cognitive overload, hence, demanding innovative tools to discover multimedia content. The researchers have devised numerous state-of-the-art approaches; however, analysis to confirm the efficacy has little emphasis. This study investigates users’ complex multimedia information-seeking behavior over state-of-the-art web search systems to unveil the user’s information-seeking issues. Our research employs between-subjects study and post hoc analysis strategies to analyze participants’ information-seeking characteristics. The study design adopted statistical hypothesis testing to consolidate previous user behavioral studies, confirm existing strategies, and present recommended practices for future general-purpose web search engines. The participants were assigned Google and an advanced discovery search system using the same multimedia dataset to ensure the obtained results’ credibility. The primary behavioral parameters include search efforts, multimedia content exploration, search user interface (SUI), information management and presentation, and user cognition. This study uncovers several inadequacies of the search engines in meeting users’ complex discovery needs, including 29.6% less user engagement, 43% system and searching dissatisfaction, and 32% less knowledge acquisition with 63.9% increased clicking effort on traditional search engines. The results confirmed previous user studies and suggest novel research recommendations statistically significant in multimedia information exploration-related endeavors.https://ieeexplore.ieee.org/document/9780405/User behavior analysisinformation discoveryinformation seekingmultimedia informationvisualizationsearch engines |
| spellingShingle | Abdur Rehman Khan Umer Rashid Naveed Ahmed An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content IEEE Access User behavior analysis information discovery information seeking multimedia information visualization search engines |
| title | An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content |
| title_full | An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content |
| title_fullStr | An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content |
| title_full_unstemmed | An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content |
| title_short | An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content |
| title_sort | explanatory study on user behavior in discovering aggregated multimedia web content |
| topic | User behavior analysis information discovery information seeking multimedia information visualization search engines |
| url | https://ieeexplore.ieee.org/document/9780405/ |
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